There may be nothing more dangerous for a company in 2026 than adopting AI with a bunch of bad managers in charge.
Managers who do not understand complex systems and cannot connect work to outcomes. And unable to measure impact, they measure activity instead.
That is how you get absurd AI adoption metrics that are feeding memes.
“Everyone must have three agents by this date.” “Who spent the most tokens?” “How many parallel agent tasks are running?” “How much code did AI generate?”
The details vary, but the pattern is the same: activity pretending to be impact. Pure management incompetence.
AI is arriving inside organizations that already struggle to understand productivity. A lot of companies still measure software work through tickets closed, lines of code shipped, hours logged.
Now they are taking the same stupidity and wrapping it in AI language.
Organizations are not machines. They are complex systems.
You do not improve a complex system by adding more pressure and more proxy metrics. You improve it by increasing the quality of judgment, tightening feedback loop, learning, and improving coordination.
AI can help so much on these areas.
But bad managers will try to use AI to replace judgment with process. They will turn adoption into compliance, leverage into surveillance, creativity into throughput theater.
If this sounds like your company, stop.
Do not automate programming first. Automate management.
Bad code can be reviewed. Architecture can be refactored.
But bad management, amplified by AI, can corrupt the whole organization before anyone understands what happened.